Cboe Global Markets (CBOE) EBIT (2010 - 2026)
Cboe Global Markets (CBOE) recorded EBIT of $476 million in Q2 2026, up 40.4% from $339.1 million a year earlier but down 5.9% from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) EBIT (2010 - 2026) Analysis & Trends
On a TTM basis, Cboe Global Markets' EBIT came in at $1.76 billion as of Jun 30, 2026, up 35.2% year-over-year; for FY2025, it came in at $1.47 billion, up 33.6% from FY2024.
- Annual EBIT has increased for three straight years, with a five-year compound annual growth rate of 17.2% (FY2020 to FY2025).
- Across earlier years, EBIT came in at $1.1 billion in FY2024 (+3.8%), $1.06 billion in FY2023 (+116.1%), $489.6 million in FY2022 (-39.2%) and $805.9 million in FY2021 (+21.7%).
- Quarterly EBIT has ranged from -$237.4 million in Q2 2022 to $505.6 million in Q1 2026 over the past five years.
- On a year-over-year basis, EBIT has increased for eight consecutive quarters, with growth averaging 30.1% over the last eight quarters.
- Peak year-over-year performance for EBIT in the last five years was growth of 63.6% in Q4 2021, against a decline of 14.2% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $505.6 million (Q1 2026), $403.8 million (Q4 2025) and $370.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 868.00 Mn |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 6.76 Bn |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 1.11 Bn |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 1.39 Bn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 712.00 Mn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | 3.37 Bn |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 2.64 Bn |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 2.58 Bn |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 476.00 Mn |
| 10 | LPL Financial Holdings | 24.62 Bn | 19.94 Bn | - | 617.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 476.00 Mn |
| Mar 31, 2026 | 505.60 Mn |
| Dec 31, 2025 | 403.80 Mn |
| Sep 30, 2025 | 370.30 Mn |
| Jun 30, 2025 | 339.10 Mn |
| Mar 31, 2025 | 353.90 Mn |
| Dec 31, 2024 | 298.50 Mn |
| Sep 30, 2024 | 307.40 Mn |
| Jun 30, 2024 | 210.10 Mn |
| Mar 31, 2024 | 282.40 Mn |
| Dec 31, 2023 | 294.00 Mn |
| Sep 30, 2023 | 271.20 Mn |
| Jun 30, 2023 | 244.80 Mn |
| Mar 31, 2023 | 247.90 Mn |
| Dec 31, 2022 | 250.50 Mn |
| Sep 30, 2022 | 236.80 Mn |
| Jun 30, 2022 | -237.40 Mn |
| Mar 31, 2022 | 239.70 Mn |
| Dec 31, 2021 | 220.60 Mn |
| Sep 30, 2021 | 190.70 Mn |
API Access
Cboe Global Markets EBIT API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=ebit&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "ticker": "CBOE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebit&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();